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Exercise interventions to improve balance for young people with intellectual disabilities: a systematic review and meta-analysis.

Author(s): Maïano C, Hue O, Morin AJS, Lepage G, Tracey D, Moullec G

Dev Med Child Neurol. 2019 Apr;61(4):406-418 Authors: Maïano C, Hue O, Morin AJS, Lepage G, Tracey D, Moullec G

Article GUID: 30230530
Self-concept research with school-aged youth with intellectual disabilities: A systematic review.

Author(s): Maïano C, Coutu S, Morin AJS, Tracey D, Lepage G, Moullec G

J Appl Res Intellect Disabil. 2019 Mar;32(2):238-255 Authors: Maïano C, Coutu S, Morin AJS, Tracey D, Lepage G, Moullec G

Article GUID: 30515961
Do Exercise Interventions Improve Balance for Children and Adolescents With Down Syndrome? A Systematic Review.

Author(s): Maïano C, Hue O, Lepage G, Morin AJS, Tracey D, Moullec G

Phys Ther. 2019 May 01;99(5):507-518 Authors: Maïano C, Hue O, Lepage G, Morin AJS, Tracey D, Moullec G

Article GUID: 31089706
Optimizing screening for depression among adults with asthma.

Author(s): Plourde A, Moullec G, Bacon SL, Suarthana E, Lavoie KL

J Asthma. 2016 09;53(7):736-43 Authors: Plourde A, Moullec G, Bacon SL, Suarthana E, Lavoie KL

Article GUID: 27159640
Diurnal Variations in Psychological Distress in Chronic Obstructive Pulmonary Disease.

Author(s): Chan-Thim E, Dumont M, Rizk AK, Parwanta Z, Pepin V, Moullec G

Rehabil Nurs. 2017 Jul/Aug;42(4):210-215 Authors: Chan-Thim E, Dumont M, Rizk AK, Parwanta Z, Pepin V, Moullec G

Article GUID: 27229890
Diurnal Physical Activity Patterns in Patients With Chronic Obstructive Pulmonary Disease.

Author(s): Parwanta Z, Chan-Thim E, Moullec G, Pepin V

Diurnal Physical Activity Patterns in Patients With Chronic Obstructive Pulmonary Disease.

J Cardiopulm Rehabil Prev. 2018 Sep;38(5):E9-E11

Authors: Parwanta Z, Chan-Thim E, Moullec G, Pepin V

Abstract
PURPOSE: People with...

Article GUID: 30138214
Factors associated with adipocyte size reduction after weight loss interventions for overweight and obesity: a systematic review and meta-regression.

Author(s): Murphy J, Moullec G, Santosa S

Metabolism. 2017 Feb;67:31-40 Authors: Murphy J, Moullec G, Santosa S

Article GUID: 28081776
Title:Optimizing screening for depression among adults with asthma.
Authors:Plourde A,  Moullec G,  Bacon SL,  Suarthana E,  Lavoie KL
Link:https://www.ncbi.nlm.nih.gov/pubmed/27159640?dopt=Abstract
Category:J Asthma
PMID:27159640
Dept Affiliation: HKAP
1 a Montreal Behavioural Medicine Centre, Hôpital du Sacré-Cœur de Montréal , Montréal , Quebec , Canada.
2 b Department of Psychology , Université du Québec à Montréal (UQAM) , Montréal , Quebec , Canada.
3 c Research Centre, Hôpital du Sacré-Cœur de Montréal , Montréal , Quebec , Canada.
4 e Department of Preventive and Social Medicine , Faculty of Medicine, University of Montréal , Montréal , Quebec , Canada.
5 f Department of Psychoeducation and Psychology , Université du Québec en Outaouais (UQO) , Quebec , Canada.
6 d Department of Exercise Science , Concordia University , Montréal , Quebec , Canada.
7 g Technology Assessment Unit, McGill University Health Center , Montréal , Quebec , Canada.

Description:

Optimizing screening for depression among adults with asthma.

J Asthma. 2016 09;53(7):736-43

Authors: Plourde A, Moullec G, Bacon SL, Suarthana E, Lavoie KL

Abstract

OBJECTIVE: The Beck Depression Inventory II (BDI-II) is one of the most frequently used tools to screen for depression in patients with chronic diseases such as cardiovascular disease and asthma. However, its original cut-off score has not been validated in adult asthmatics. The present study aimed to determine the optimal BDI-II cut-off score and to verify the impact of various patient sociodemographic and clinical characteristics on performance accuracy of the BDI-II.

METHODS: A total of 801 adult asthmatic outpatients (mean ± SD, age 49 ± 14 years, 60% female) completed the BDI-II and a structured psychiatric interview (used as the standard referent to determine presence of major depressive disorder [MDD]). The sensitivity and specificity of the BDI-II were computed to determine the optimal cut-off score for identifying MDD. The optimal cut-off scores were also verified across covariate subgroups (e.g., sex, age, smoking status, asthma control levels).

RESULTS: According to the structured psychiatric interview, 108 (13%) patients had current MDD. The overall optimal BDI-II cut-off score was 12 (sensitivity = 85%, specificity = 79%). However, subgroup analyses revealed that this score could range from 11 to 15 depending on the characteristics of the individual.

CONCLUSIONS: Results suggest that the BDI-II is an appropriate screening tool for MDD in asthma populations. However, the cut-off score is influenced by the sociodemographic and clinical characteristics of patients. These findings highlight the importance of validating generic questionnaires for depression in specific populations in order to improve the accuracy of their usage.

PMID: 27159640 [PubMed - indexed for MEDLINE]